Final answer:
The Chi-square test can be used to verify the expected ratios in different crosses. Based on the calculated value of X^2, we can either accept or reject the null hypothesis.
Step-by-step explanation:
The Chi-square test can be used to verify whether the expected ratios in different crosses are consistent with the proposed inheritance hypothesis, such as the law of segregation of alleles or the law of independent assortment.
The Chi-square formula used for this test is:
X^2 = ((O1 - E1)^2) / E1 + ((O2 - E2)^2) / E2 + ((O3 - E3)^2) / E3 + ((O4 - E4)^2) / E4
When performing the Chi-square test, if the calculated value of X^2 is under 0.05, the null hypothesis is rejected. Conversely, if the calculated value is over 0.05, the null hypothesis is accepted.